Text Generation
fastText
Avaric
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-caucasian_northeast
Instructions to use wikilangs/av with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/av with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/av", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_similarity.png from wikilangs/av: direct link, hf CLI and curl.
- Browser
- Download file 159 kB
-
https://huggingface.co/wikilangs/av/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/av/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/av/resolve/main/visualizations/embedding_similarity.png
159 kB

- Xet hash:
- 137eafacd484ddb4b27508d856588e05035949e3c72548c1cc1011fa46f79769
- Size of remote file:
- 159 kB
- SHA256:
- bdadd72994107dd25204a388b0a7dbe5cb021094dd9294a6db2e1ebe60517ba1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.